Real time visual system for starfruit maturity index classification

Considering the demand for fresh starfruit becomes higher nowadays, an automatic system for starfruit quality inspection is mostly needed since the quality inspection of starfruit is still manually performed by human. The objectives of this thesis are to develop a real time visual system and to impl...

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Main Author:	Amirulah, Rahman
Format:	Thesis
Language:	English
Published:	2012
Subjects:	TK Electrical engineering Electronics Nuclear engineering
Online Access:	http://eprints.utm.my/id/eprint/36556/1/RahmanAmirulahMFKE2012.pdf
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id	my-utm-ep.36556
record_format	uketd_dc
spelling	my-utm-ep.365562017-09-25T05:36:36Z Real time visual system for starfruit maturity index classification 2012-10 Amirulah, Rahman TK Electrical engineering. Electronics Nuclear engineering Considering the demand for fresh starfruit becomes higher nowadays, an automatic system for starfruit quality inspection is mostly needed since the quality inspection of starfruit is still manually performed by human. The objectives of this thesis are to develop a real time visual system and to implement the colour maturity algorithm into a Field Programmable Gates Array (FPGA) system for starfruit colour maturity classification. Generally, the system designed in this work consists of three main sub-systems: input, process and output. The input of the system is acquired by using a digital camera with YCbCr format. The second part of the system is the main processing system which is FPGA. The processes on the FPGA can be divided into three parts, which are segmentation, feature extraction and classification. The segmentation process is utilised to determine the Region Of Interest (ROI) of the starfruit area by using fixed threshold value based on Cb component. The feature fed to the system is extracted from Cr component that becomes the input to the proposed rule-based classifier. In this work, the starfruit is classified into 6 maturity levels. The performance of the proposed system achieved 89% of starfruit correctly classified. 2012-10 Thesis http://eprints.utm.my/id/eprint/36556/ http://eprints.utm.my/id/eprint/36556/1/RahmanAmirulahMFKE2012.pdf application/pdf en public http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:69750?site_name=Restricted Repository masters Universiti Teknologi Malaysia, Faculty of Electrical Engineering Faculty of Electrical Engineering
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	TK Electrical engineering Electronics Nuclear engineering
spellingShingle	TK Electrical engineering Electronics Nuclear engineering Amirulah, Rahman Real time visual system for starfruit maturity index classification
description	Considering the demand for fresh starfruit becomes higher nowadays, an automatic system for starfruit quality inspection is mostly needed since the quality inspection of starfruit is still manually performed by human. The objectives of this thesis are to develop a real time visual system and to implement the colour maturity algorithm into a Field Programmable Gates Array (FPGA) system for starfruit colour maturity classification. Generally, the system designed in this work consists of three main sub-systems: input, process and output. The input of the system is acquired by using a digital camera with YCbCr format. The second part of the system is the main processing system which is FPGA. The processes on the FPGA can be divided into three parts, which are segmentation, feature extraction and classification. The segmentation process is utilised to determine the Region Of Interest (ROI) of the starfruit area by using fixed threshold value based on Cb component. The feature fed to the system is extracted from Cr component that becomes the input to the proposed rule-based classifier. In this work, the starfruit is classified into 6 maturity levels. The performance of the proposed system achieved 89% of starfruit correctly classified.
format	Thesis
qualification_level	Master's degree
author	Amirulah, Rahman
author_facet	Amirulah, Rahman
author_sort	Amirulah, Rahman
title	Real time visual system for starfruit maturity index classification
title_short	Real time visual system for starfruit maturity index classification
title_full	Real time visual system for starfruit maturity index classification
title_fullStr	Real time visual system for starfruit maturity index classification
title_full_unstemmed	Real time visual system for starfruit maturity index classification
title_sort	real time visual system for starfruit maturity index classification
granting_institution	Universiti Teknologi Malaysia, Faculty of Electrical Engineering
granting_department	Faculty of Electrical Engineering
publishDate	2012
url	http://eprints.utm.my/id/eprint/36556/1/RahmanAmirulahMFKE2012.pdf
_version_	1747816433096589312

Real time visual system for starfruit maturity index classification

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